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Gemma 3 4B vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 25.2% higher average benchmark score. Gemma 3 4B offers 68.6K more tokens in context window than o1-mini. Gemma 3 4B is $14.94 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
6 months newer
o1-mini
OpenAI
2024-09-12
Gemma 3 4B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 4B
Input:$0.02
Output:$0.04($14.94 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 4B
Average Score:51.0%
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o1-mini
Average Score:76.2%(+25.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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o1-mini
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Gemma 3 4B
Avg Score:51.0%
Providers:1
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o1-mini
Avg Score:76.2%(+25.2%)
Providers:2